When the person met with an accident is brought to the hospital, there are many official formalities (e.g., admission form to be filled) before the treatment that can be started. In some severe cases, these formalities can delay the treatment, which could be fatal to the patient. The automated system which can fill these forms with the help of face recognition could severely cut down the delays. But, in some cases, the injury and the blood on to the face fail facial recognition. To overcome this problem, we have proposed a facial vector-based algorithm. In the current work, we have also demonstrated, sending the SMS to the concerned authorities (police) and even to the relatives of the patient automatically using GSM modules. The patient’s information was received from centralized databases of different hospitals that are linked through the internet. We have tested the algorithm on more than 213K images from different databases like celebA, LFW, UCFI. We found that the maximum accuracy of our system was 98.23%. As a proof-of-concept, we tried testing on 51 real-time patient images and found that the accuracy is 94.11%. This automated form filling not only reduced the delay in hospital admission, but also also helped in treatment, because of the auto-filled medical history.